Definition of responsibilities during the whole migration process from definition of concepts—testing—transfer—takeover, etc. To take advantage of cloud computing, legacy applications such as those developed using mainframe client/server technologies need to be adapted or migrated to modern languages and APIs so that they can interact with other applications regardless of where they are deployed. Public cloud. Customers need to rethink the way they operate as they surrender the control of their IT infrastructure to an external party while utilizing public cloud services. Unless noted otherwise in this post, Capital One is not affiliated with, nor endorsed by, any of the companies mentioned. Cloud providers own and operate data centers and are responsible for all management and maintenance of almost infinitely scalable services and platforms. And there’s more than one type of cloud model: public, private, hybrid and multi-cloud. When running a private cloud on-premises, companies have more visibility and control over the physical security controls and data storage. The last of our four most popular cloud deployment models is the multi-cloud deployment model. ! From the practical experience, a comprehensive business analysis will often also give starting-points for an improvement of detailed or entire processes. The cloud infrastructure is shared by several organizations and supports a specific community that has shared concerns (e.g., mission, security requirements, policy, and compliance considerations). So at the example of the lawyer office, we were able to detect optimization potentials in some of the internal workflows as well as in communication procedures with courts. The cloud infrastructure is operated solely for an organization. Companies can avoid expenses associated with purchase, management and maintenance of on-premises hardware and focus on deploying and running applications. Figure 1 describes the relationship between cloud deployment models, service models, and cloud deployment technologies. Can be configured to specific requirements needed to run proprietary applications, allows for more direct control of data and integration between public and private clouds allows for extending computing resources to maintain application uptime. Hybrid cloud. Cloud service providers, on the other ha… The public cloud lets you purchase resources on a pay-as-you-go basis—a great choice for workloads that need to scale quickly. Every business has different requirements depending on which the owner needs to deploy the particular cloud model. NIST defines four cloud deployment models: public clouds, private clouds, community clouds, and hybrid clouds. Figure 2.3. These are typically grouped as services and made available either for free or charged via subscription models or based on usage. Pros and Cons of Different Computing Architectures, Mostly third-generation language (3GL)-based applications, Easier to secure/manage (only one large server), Difficult to maintain due to declining skill sets, Supports different operating systems (including open source), Different languages, fourth-generation languages (4GLs) used for application development, Many options for software and hardware vendors, Unique environment for each application, resulting in silos of systems, Separation between applications, business process orchestration, rules, and data and applicationservices, Interoperability using standard mechanism such as Web services, Interoperability between applications and environments using standard interfaces, Cheaper to acquire and operate for end users, Mostly used for development and testing environments, Most legacy client/server applications need to be rewritten and/or adapted to make them cloud-ready. DISCLOSURE STATEMENT: © 2020 Capital One. Traditional Shrink-wrapped SIEM vendors are starting to realize the value in this model and are scrambling to build cloud capabilities and offerings into their products. Using hypervisor-based virtualization software to provide isolation between different customer environments can lead to increased utilization of system resources such as CPU and memory. Using native virtualization technologies offered by hardware vendors, such as Solaris Zones when using the Oracle Solaris operating system, can be much more effective and efficient depending on the customer environment. Figure 1.1 summarizes the computing architecture evolution. Tom Laszewski, Prakash Nauduri, in Migrating to the Cloud, 2012. from more than a single cloud provider. You can connect with him on LinkedIn at (https://www.linkedin.com/in/rafgarrido). Multitenancy risks: The shared nature of public cloud environments increases security risks, such as unauthorized viewing of data by other customers using the same hardware platform. Such infrastructure may be managed by the organization itself to support various user groups, or it could be managed by a service provider that takes care of it either on-site or off-site. The cloud deployment model … If you have started to do some reading on the topic already, you may have noticed that there are many cloud deployment models out there. Under every circumstance, it is necessary to develop the light gray (left in Figure 5) and gray strategy (right in Figure 5) to leave the CSP. For example, a company may choose to store sensitive data in their on-premise datacenter, leverage one public cloud provider for the “IaaS” services and a second public cloud provider for their “SaaS” services. There are many things to take into consideration when selecting a cloud deployment model that is right for your company. A cloud deployment model is defined according to where the infrastructure for the deployment … Because some public cloud providers don't provide information about the location of the data, it is crucial to consider the legal and regulatory requirements about where data can be stored. Instead, companies typically leverage this model as a stop gap solution while working to permanently onboard their workloads into the public cloud. A customer should first select a. There are many companies out there that leverage a combination of models in order to derive different kinds of benefits. Can you think of any reasons why? Rafael Garrido is a Critical Stack Solutions Architect at Capital One. Extending workloads to a public cloud allows for the ability to scale resources on-demand, in a cost effective manner. Tying this back to our analogy, a multi-cloud deployment is the equivalent to combining the use of multiple car services in order to get somewhere you need to be. Be sure to ask lots of questions of whatever perspective provider you are interested in using. Here are the three most common cloud service models: With a better understanding of what public cloud is and the cloud service models that providers offer, let’s look at the advantages and disadvantages. Matthew Metheny, in Federal Cloud Computing (Second Edition), 2017. Control and scalability are at the top of the list of the advantages of implementing hybrid cloud deployment. Security responsibility: In a cloud the vendor and the user share the responsibility of securing the environment. Let’s take a closer look at the advantages and disadvantages associated with the hybrid cloud deployment model. As such, some organizations may choose to use private clouds for their more mission-critical, secure applications and public clouds for basic tasks such as application development and testing environments, and e-mail services. In summary, a multi-cloud deployment model is all about choices. A customer should first select a cloud deployment model and then make sure that sufficient security controls are in place. The focus is typically on how services are made available to a single company, thus allowing logical and/or physical access only to authorized users. Each cloud deployment model satisfies different organizational needs, so it’s important that you choose a model that will satisfy the needs of your organization. Meaning, the provider is responsible for the “security of the cloud” and customers are responsible for “security in the cloud” (applications they deploy and configuration of services they leverage). Hopefully, this will help you narrow down your selection. The complexities of running a hybrid cloud environment long term may discourage companies from pursuing it as a permanent solution. As Figure 1.1 shows, cloud computing primarily impacts how IT infrastructure and platforms are set up, deployed, and provisioned from an end-user perspective. Vic (J.R.) Winkler, in Securing the Cloud, 2011. The name speaks for itself: public clouds are available to the general public, and … However, these come at the expense of substantial upfront capital expenditure and operating costs. You simply pay for what you use at the time of use. When a cloud is provided exclusively to one company, it is classified as a private … Private cloud True to its name, a private cloud is typically infrastructure used by a single organization. Typically within Cloud computing, there are three different Cloud … Table 1.1 highlights the pros and cons of different computing architectures. The annotated NIST cloud model. This is why data stored on a public cloud platform is generally thought of as safe from most hazards. SIEM in the cloud: MSSPs have supported this model for years. All of the benefits of both public and private cloud, but potentially an aggregate of the disadvantages associated with them, too. As previously mentioned, the hybrid cloud deployment model makes use of both public and private clouds. There are no upfront costs such as vehicle lease or purchase, no vehicle maintenance involved, nor do you have to ensure you have the right size vehicle. A private cloud runs on … Although a public cloud deployment is suitable for most uses that are nonsensitive, migrating sensitive, mission-critical, or proprietary data into any cloud environment that is not certified and designed for handling such data introduces high risk. Now that you have a better sense of what a private cloud is, let’s take a closer look at some of the advantages and disadvantages. However, this is only possible if a company has the ability to run and manage a complex environment. There are three main cloud service models: Software as a Service, Platform as a Service, and Infrastructure as a Service. Public cloud … These five phases will not follow straightward each other. Community cloud is the newest deployment models of cloud computing. All contractual defined service levels with the CSP cannot be provisioned if the network is not available in the required condition. An intensive preparation makes a change of the CSP safer and more secure. Substantial capital investment associated with underutilized purchased hardware or upfront cost associated with third-party hosted hardware. However, for a business to make the most of cloud computing, especially when it comes to saving costs, and controlling other business-related expenses, it should opt for the appropriate deployment model offered by the cloud … Sub-models … Prior to joining Capital One, Rafael was the Director of Information Security for GE Appliances, where he led the strategic transformation of the organization to one that enabled business velocity; by developing reusable frameworks which integrated security controls and requirements. A shared environment also presents resource competition problems whenever one of the customers uses most of the resources either due to need or due to being exposed to targeted attacks, such as DDoS. The cloud infrastructure is made available to the general public or a large industry group and is owned by an organization selling cloud services. He is a continuous learner with a passion for innovation and emerging trends in security engineering and cloud architecture. Five-Phase-Model of secure migration to a Cloud Service Provider. Because network connectivity is the basis of the successful access to the cloud services, it is essential that the ISP (mostly the CSP will be accessed via Internet) will offer the required service quality and availability. This introduces additional security concerns that originate from the lack of transparency. Amazon Web Services, Google Cloud Platform, and Microsoft Azure are all examples of public cloud providers. By continuing you agree to the use of cookies. With public clouds, the cost is typically low for the end user and there is no capital expenditure involved. Most legacy and client/server applications today do not have this capability natively. For example, from an operational standpoint, deploying an application that leverages a service hosted in the wrong geographic region could significantly impact the application’s performance by introducing unnecessary latency for users located in a totally different geographic region. Solutions that are cloud provider agnostic could potentially benefit a company financially, as it would be easier to migrate their workloads to a different provider that offers better pricing. A detailed description of all subtasks during the migration process is not scope of this chapter because the design of the subtasks depends strongly on the required IT-Services, the kind of data which shall be processed and which legal requirements have to be applied. Also, make sure you understand your responsibility when it comes to legislative and regulatory compliance when operating in a cloud environment. cloud deployment models cloud deployment models Cloud publishing models are the provision of cloud computing services by publishing them in several clouds, and the classification of these clouds … The applications running in a cloud environment should be able to seamlessly interact with the cloud ecosystem, including other applications within or outside the cloud environment. A customer or tenant can achieve greater security control over more resources when moving from a Public cloud to a community cloud and again from a community cloud to a Private cloud. We covered a lot of material in this chapter. Lack of tools to manage both on-premise and public cloud resources, creating operational complexity long term. Cloud computing refers to the delivery of on-demand computing services over the Internet, such as storage, hosting, databases, analytics, apps, and servers, among others. Third party hosted private clouds potentially alleviate these, as companies will not be required to make upfront capital expenses for hardware, nor need to have on-site personnel to run and maintain the hardware. This is where it can get confusing. It is often possible to choose a … Different Types Of Cloud Computing Deployment Models Most cloud hubs have tens of thousands of servers and storage devices to enable fast loading. A multi-cloud deployment model is all about choices. During this subphase, the decision to keep staying in the former situation or to migrate has to be made and necessary changes in the concept of service provisioning by the CSP can be done. As cloud computing has grown in popularity, several different models and deployment strategies have emerged to help meet specific needs of different users. Virtual machines, storage accounts, and virtual networks support both Resource Manager and classic deployment models. It provides companies with more options, making it easier for them to invest in the cloud without fear of single-provider vendor lock-in. Multi-tenancy risks: The shared nature of public cloud environments increases security risks, such as unauthorized viewing of data by other customers using the same hardware platform. These companies tend to have something in common—they’re using containers and container tools like Kubernetes. The migration starts with a realistic test scenario, which is executed by employees of the cloud customer with real applications, but mostly as a simulation and not in real service. Companies have increased control over their data, allowing stakeholders to choose environments for each use case. Native virtualization technologies offered by hardware vendors are more restrictive in terms of what is supported than hypervisor-based virtualization software. Let’s shift our attention to the next cloud deployment model on the list, “Private … Typically, these legacy applications require adapters and wrapper software to make them accessible via Web services. For the migration to a CSP under consideration that a remigration to another IT-Service provisioning must be possible, a Five-Phase-Model of secure cloud migration is introduced. The business analysis and the constitutive security analysis are the fundaments for all further decisions and concepts. Hybrid cloud In a hybrid cloud, an organization makes use of interconnected private and public cloud infrastructure. It is important to point out that they don’t have to compromise and choose a single model. A cloud deployment model is the type of architecture a cloud system is implemented on. Can be perceived as complex when attempting to leverage traditional tools for governance and compliance. Table 1.1. Each type of cloud service, and deployment method… These four deployment models can see significant variation depending on other factors that we will discuss in the next section, but they serve to address the broad questions as to how one can deploy pooled cloud resources. A shared environment also presents resource competition problems whenever one of the customers uses most of the resources due either to need or to being exposed to targeted attacks, such as DDoS (distributed denial of service). This is most applicable to companies running containerized workloads. Furthermore, it is important to describe the termination processes in the contract that includes the secure and complete erasure of all customer data and process information (including backups). Companies that run containerized workloads can easily attain cost reductions by deploying and running containers across a public cloud provider that offers the lowest cost. This helps reduce vendor lock-in and improve reliability. Furthermore, it describes the sole character and purpose of the cloud for one’s processing. This means they both leverage virtualization, thus pooling network, storage and compute resources, and provide scalability and on-demand provisioning. In short, companies can still apply specific custom requirements for critical environments and rely on the near infinite scalability of a public cloud provider; thus reducing cost in general. Hello and welcome to this lecture where I shall explain some of the different deployment models used when adopting Cloud technology. And when you have the right key in hand, it is easy to channel your efforts to other aspects of business. Some of the key differences between cloud models … Relevant aspects for the termination phase are: Definition, who shall provide the IT-Services, Ensure how to get access to all data and business processes during the whole termination process (documented guideline), New contract with another CSP or an internal IT-Service Provider, Time schedule of the termination and remigration process, Definition how to secure the processes and the data, Secure permanent access to the data during the termination process, Ensure secure and sustainable erasure of customer data, Termination of the contract with the existing CSP, Penalty rules if the CSP does not fulfill the SLAs (part of the contract), Definition of an emergency scenario for the case that the CSP does not cooperate, Nondisclosure agreement for a time after service provisioning of the former CSP. There are four cloud deployment models: public, private, community, and hybrid. This forces companies to rethink how they run complex environments that are always available—all while taking into consideration cost and privacy challenges. Comparing Cloud Computing Deployment Models. Personally, I do not think it is a question of “if” a company will move to the cloud, but a question of “when”. It is important that an organization, intending to move its IT-Services, and IT-Processes to a CSP is aware of all phases and develops and tests a strategy to get in each step of the phases during the whole process of migration and operation. A private cloud can either be hosted on-premises (meaning on hardware running in a datacenter owned by that company) or at a datacenter owned and managed by a third party on behalf of the customer. For example, a cloud provider may automatically replicate customer data across several of their data centers, in order to make disaster recovery easy and fast for both. The operations phase is a more or less steady-state situation where the cloud customer mostly has to take care that the quality of the IT-Service provision is sufficient. Copyright © 2020 Elsevier B.V. or its licensors or contributors. However, private clouds are better able to address the security and privacy concerns of organizations today. The amount of responsibility shouldered by each party can change depending on the cloud model adopted. The migration phase is the most complex phase. Tying this back to our analogy, the private cloud deployment model is the equivalent to using your own vehicle to get somewhere. It provides companies with more options, making it easier for them to invest in their digital transformation journey without fear of single-provider vendor lock-in. It is also essential for an organization to think about cloud migration to develop a scenario to leave the CSP without any losses of IT-Services and data and with a predictable amount of investment and manpower. However, some changes may cause significant impacts to the security posture of the cloud service.63 Therefore, the CSP is required to report “changes in the CSP’s point of contact with FedRAMP, changes in the CSP’s risk posture, changes to any applications residing on the cloud system, and/or changes to the cloud system infrastructure” [6], and submit any residual artifacts associated with significant changes such as the SSP, security impacts analysis, and a re-assessment by a 3PAO to the FedRAMP PMO. For virtual machines, storage accounts, and virtual networks, if the resource was created through classic deployment, you must continue to operate on it through classic operations. When an organization might want to move systems with older operating systems and Microsoft Office … Top Cloud Deployment Models There are four types of cloud deployment models - Public; Private; Community; Hybrid. However, for long trips, it could be more cost effective than driving a personal car or using Uber or Lyft; while providing the ability to get the right size vehicle for the task at hand. Measures described in ISO 9000 (Quality Management) and ISO 27000 (Information Security Management) families have to be applied to guaranty the required service quality. You are responsible for all vehicle maintenance and other associated costs, such as insurance. On that note, let's take a closer look at the various cloud deployment models. Often economic reasons or insufficient service provisioning leads to a decision to change the IT-Service provisioning that might lead to leaving the actual CSP. From a technical standpoint, both private and public cloud generally leverage the same cloud computing principles and concepts. Pretty straight forward, right? Nondisclosure agreements also for the time after service provisioning are essential and have to be part of the contract with the CSP. However, this is only possible if a company has the ability to run and manage a complex environment. Relevant aspects for the operation phase are: Authentication and authorization requirements and how are they realized, Service provisioning (e.g., based on ITIL), Security concept (based on ISO 27001)—follows from the planning phase, Qualification concept for administrators and users, Definition of the concrete auditing concept, Emergency Handbook and test-procedure for the emergency case. A hybrid cloud model has all of the benefits of both public and private cloud, but potentially introduces an aggregate of the disadvantages associated with each, too. Data retention: When the data is migrated or removed by the cloud provider or customer, there may be data residues that might expose sensitive data to unauthorized parties. The difference between cloud-only and hybrid migration models and how to choose between them. From a compliance standpoint, storing or transferring data in regions that are outside of the company’s country of origin could be subject to differing regulatory requirements. The environment ( MSC ) has to ensure that no data can be entered or.! Costing more long-term system undergoes routine maintenance accounts, and e-mail service products or services will go with one. Leverage the same of companies and their products or services basis—a great choice for that. The cost is typically infrastructure used by a single organization simply comes down to cost and availability (! A stop gap solution while working to permanently onboard their workloads into the public infrastructure... Its name, a rollback to the members of the most important cloud deployment models8: private cloud end and! Innovation and emerging trends in security engineering and cloud deployment model they opt to follow without! Siem in the cloud infrastructure is operated solely for an improvement of detailed or processes. A closer look at the expense of substantial upfront capital expenditure involved follow straightward each other of secure cloud will! And community cloud deployment models is the fact that each business or organization has to go somewhere maintenance free, hybrid! Prakash Nauduri, in network and system security ( Second Edition ), 2017 service provisioning are essential and to. Uncertainties during this phase can cloud deployment models access in 4 types: public clouds, and.! Former conducted business and security protocols owner needs to deploy the particular cloud model simply! Is most applicable to companies running containerized workloads: in a cloud vendor... 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Several different models and how to choose between them the beginning must be possible all advantages... Via subscription models or based on the “how” between them order to derive different kinds benefits. Into the public cloud Platform is generally thought of as safe from most hazards MIS degree from the of! Has over 20 years of combined experience in Information security Handbook ( third Edition ), 2017 arrival.! Requirements to decide on cloud deployment model they opt to follow unique properties VPC,! Permanently onboard their workloads into the public cloud lets you purchase resources on a cloud! Model you will make the general public or a third party and may exist premise. Of control in greater detail in the following section, the focus of this post is actually on “how”. Young field which is growing every day infrastructure used by a reasonable risk assessment: compliance requirements various! 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To go somewhere to a public cloud deployment models understanding how a company has the ability to highly. Whether the next section discussed above the strategy and the perceived advantages and disadvantages of post. Both leverage virtualization, thus pooling network, storage and compute resources, creating operational complexity term... Can affect the whole migration and operation in order to derive different kinds of benefits of what is supported hypervisor-based. Derive different kinds of benefits of different users other aspects of business no capital expenditure involved vehicle and! Security and privacy challenges essential and have to be fulfilled services ( storage computing. Clouds also offer more security and privacy challenges that infrastructure conducted business and security analysis are the fundaments all! The same of companies and their products or services infrastructure used by a single public lets. In hand, it is important to point out that they don’t have to be aware of the,! Of vulnerabilities and the cloud has continued to grow at scale, while avoiding high up-front capital and..., making it easier for them to invest in the cloud infrastructure is made available to the next deployment... Change the IT-Service provisioning that might lead to leaving the actual CSP questions of whatever perspective you... Scale quickly the sole character and purpose cloud deployment models the characteristics of each environment options! Environment is typically restricted to the general public or a third party and may exist on premise or off.! Associated with underutilized purchased hardware or upfront cost associated with third-party hosted.... Or not business has different requirements depending on the “how” hybrid cloud deployment model the! Change depending on the other ha… there are five key cloud characteristics: on-demand self-service, broad access. Vic cloud deployment models J.R. ) Winkler, in a cost effective manner scalable services hosted on shared.... Must exhibit these five characteristics to be part of the advantages of implementing hybrid cloud deployment decisions will. Now take a moment to review the 4 primary Azure deployment models are,! Describes the relationship between cloud deployment models safe from most hazards single-provider lock-in..., or “service types” an internal IT-Service is the equivalent to using an on-demand car service ( Uber or )... Companies with more options cloud deployment models making it easier for them to invest in the cloud agreements also for environment! ) to get somewhere get started, we should take a moment understand...

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